{"51032":{"#nid":"51032","#data":{"type":"news","title":"Alex Gray Wins NSF CAREER Award","body":[{"value":"\u003Cp\u003EAlexander Gray, assistant professor in Computational Science and Engineering, has received a CAREER Award from the National Science Foundation for his project, \u0022Scalable Machine Learning for Astrostatistics.\u0022\u003C\/p\u003E\n\u003Cp\u003EThe five-year award, which at nearly $600,000 is 50 percent larger than a typical CAREER Award, will continue Gray\u0027s work in astrophysics, in which he\u0027s been involved since the early 1990s. He has applied computational algorithms to study formation of galaxies, determine evidence for \u0022dark energy\u0022 in the universe, and study the formation and morphology of galaxies.\u003C\/p\u003E\n\u003Cp\u003EThe project that won him the CAREER Award will involve creating new data structures and algorithms to scale up existing machine learning techniques to the point that they can deal with the massive datasets involved in cosmological phenomena. Gray said he will specifically explore a new data structure called a \u0022cosine tree\u0022 to help manage the computational bottleneck that results from massive datasets. As an educational component, he said the project will test a novel approach to Ph.D. curricula.\u003C\/p\u003E\n\u003Cp\u003E\u0022Building upon the successful Threads model pioneered at Georgia Tech, the innovations center around extensions of its underlying ideas of contextualization and symphonic thinking,\u0022 Gray said. \u0022[The innovations will involve] Cross-Threads, a way to curricularize cross-disciplinary inspiration through a graduate analog of the Threads concept, representing a new kind of design for a Ph.D. program in computing.\u0022\u003C\/p\u003E\n\u003Cp\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAlexander Gray, assistant professor in Computational Science and\nEngineering, has received a CAREER Award from the National Science\nFoundation for his project, \u0022Scalable Machine Learning for\nAstrostatistics.\u0022 Source: Office of Communications\u003Cbr \/\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27154","created_gmt":"2010-02-09 21:39:58","changed_gmt":"2016-10-08 03:04:23","author":"Louise Russo","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2009-07-13T00:00:00-04:00","iso_date":"2009-07-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}